Vowel classification based on frequency response of vocal tract
Automatic speech recognition (ASR) has made great strides with the development of digital signal processing hardware and software especially using English as the language of choice.In this paper, a modified feature extraction approach based on frequency response model of the vocal tract and Bark sca...
Saved in:
Main Authors: | M.P., Paulraj, Yaacob, Sazali, Mohd Yusof, S. A. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://repo.uum.edu.my/7427/1/04580782.pdf http://repo.uum.edu.my/7427/ http://dx.doi.org/10.1109/ICCCE.2008.4580782 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Vowel classification based on frequency response of vocal tract
by: Paulraj, M.P., et al.
Published: (2009) -
Classification of Malaysian vowels using formant based features
by: Mohd Yusof, S. A., et al.
Published: (2008) -
Malaysian vowel recognition based on spectral envelope using bandwidth approach
by: Siraj, Fadzilah, et al.
Published: (2009) -
Improved Malay vowel feature extraction method based on first and second formants
by: Mohd Yusof, Shahrul Azmi, et al.
Published: (2010) -
Vowel recognition based on frequency ranges determined by bandwidth approach
by: Paulraj, M.P., et al.
Published: (2008)